simon-weber

#!/usr/bin/env bash

# executables prefix
_prefix="/usr/bin"
# git executable
_git="$_prefix/git"

# branch from which to generate site
_origbranch="source"
# branch holding the generated site

simon-weber

document.write = function (s) {
  // jsfiddle doesn't allow document.write.
  document.body.insertAdjacentHTML("beforeend", s);
}

const schemaBuilder = lf.schema.create('schema', 1);
schemaBuilder.createTable('Item').
addColumn('id', lf.Type.INTEGER).
addColumn('num', lf.Type.STRING).
addPrimaryKey(['id']).

simon-weber

import sys
import os
import xml.etree.ElementTree as ET
import logging
import re
from shutil import copyfile
from optparse import OptionParser

### This file came from the https://github.com/flow123d/flow123d repo they were nice enough to spend time to write this. 
### It is copied here for other people to use on its own.

simon-weber

# An example to disable profiling when faking time with python-libfaketime.
# Call this once from setup_package or a similar hook at the start of the test run.
# https://github.com/simon-weber/python-libfaketime

def disable_profiling_around_libfaketime(nose_config):
    """
    libfaketime's interception of time system calls will break profilers.

    If we detect that we're running under a profiler, we set up libfaketime callbacks to
    temporarily disable profiling when we're faking the time.

simon-weber

#!/usr/bin/env python
from __future__ import print_function
"""
./%s 'cmd' <id-argname> <redef-argname> [<redef-argname>...]

Given the current environment:
    IDARG=1
    FOO1=foovalue
    BAR1=barvalue
    FOO2=foo-unused

simon-weber

import tornado


class RequestContextHandler(tornado.web.RequestHandler):
    
    def _execute(self, transforms, *args, **kwargs):
        # following the example of:
        #  https://github.com/bdarnell/tornado_tracing/blob/master/tornado_tracing/recording.py
        
        global_data = {}  # add whatever here, e.g. self.request

simon-weber

import vcrutils

VCR_CASSETTE_PATH = APPROOT + '/venmo_tests/cassettes/'  # eg
MAKE_EXTERNAL_REQUESTS = os.environ.get('MAKE_EXTERNAL_REQUESTS') == 'TRUE'


@dual_decorator  # convert a paramaterized decorator for no-arg use (https://gist.github.com/simon-weber/9956622).
def external_call(*args, **kwargs):
    """Enable vcrpy to store/mock http requests.

simon-weber

from operator import itemgetter

from gmusicapi import Api


api = Api()
api.login('me@gmail.com', 'my-password')
# => True

lib = api.get_all_songs()

simon-weber

#!/usr/bin/env python

"""
Run on Jenkins to print a url for each artifact generated by a downstream multijob build.
"""

import os

import requests

simon-weber

This Python 3 script imports some Google Music metadata to MediaMonkey. Matches are found by a complete match of the song name, album, and artist.

To use it:

• shut down MediaMonkey
• make a copy of your MM.DB MediaMonkey database and put it in the same directory as this script
• use the Autoplaylists for Google Music debug interface to generate a csv of your library, then place it in the same directory as this script and name it google_music_library.csv
• run python import_gm.py and investigate the logs; repeat on a fresh copy of MM.DB each time until satisfied
• back up your existing MM.DB and then overwrite it with the modified one